Open Journal System Institut Teknologi PLN d/h. Sekolah Tinggi Teknik-PLN
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Pemanfaatan Energi dengan Teknologi Piezoelektrik pada Sepatu untuk Daya Ponsel dengan Langkah Kaki Manusia
No full textThe aim of using piezoelectricity in shoes is to develop and test the effectiveness of smart shoes based on piezoelectric technology in generating electrical energy from the user's footsteps. The method used includes designing and assembling a piezoelectric device on a shoe, followed by testing the power produced. The research results show that smart shoes are capable of producing a voltage of 0.374 Volts and an electric current of 0.07 amperes, which is enough to charge small electronic devices, such as cellphones. From battery usage before and battery usage after the activity, the power obtained using Piezoelectric Technology is 0.334 Watts with 6,760 steps. Piezoelectric Shoes have the potential to be an environmentally friendly renewable energy solution for daily use with maximum use and usage to reduce dependence on fossil energy and carbon emissions. Further implementation and testing under extreme conditions is recommended to ensure stability and user comfort
Analisis Shielding Failure Pada SUTT 150 kV Gandul-Serpong Menggunakan Metode Elektrogeometri
No full textSaluran udara tegangan tinggi berfungsi untuk menyalurkan energi listrik dari satu daerah ke daerah lain. Oleh karena itu, apabila transmisi listrik mengalami gangguan maka akan mengakibatkan proses penyaluran energi listrik terganggu sehingga menyebabkan pemadaman listrik di daerah-daerah tersebut. Gangguan yang sering ditemui pada saluran transmisi khususnya saluran udara adalah gangguan eksternal yang berasal dari sambaran petir yang mengenai kawat fasa akibat terjadinya kegagalan perisaian (shielding failure). shielding failure terjadi karena kawat tanah tidak mampu untuk melindungi kawat fasa terhadap sambaran petir. Penelitian ini bertujuan untuk mengetahui keandalan perisaian terhadap sambaran petir dan melakukan simulasi optimasi perisaian. Metode yang digunakan adalah metode elektrogeometri yang di implemantasikan dalam program berbahasa python. Pada besar arus maksimum kegagalan perisaian dan daerah tak terlindungi (Xs) dipengaruhi oleh kemampuan sudut perisaian. Pada kegagalan perisaian dapat mengakibatkan petir yang menyambar pada suatu titik saluran udara transmisi yang dapat menyebabkan terjadinya Flashover pada isolator saluran udara tegangan tinggi tersebut. Faktor yang menyebabkan kegagalan perisaian adalah sudut lindung, besar arus puncak petir
dan desain menara transmisi.. Setelah dilakukan pengolahan data keandalan perisaian dengan metode elektrogeometri maka tower existing perlu dilakukan perancangan ulang guna meningkatkan keandalan sambaran petir pada saluran transmis
Pemanfaatan Kecerdasan Buatan (AI) dalam Konstruksi Modular dan Prefabrikasi
No full textABSTRACT
The application of Artificial Intelligence (AI) in modular and prefabricated construction offers an innovative solution to enhance efficiency, quality, and safety in the construction industry. This approach enables automation of design, production, and project management processes in real-time, thereby accelerating construction time while minimizing the risks of errors and material waste. The integration of AI with software such as Tekla Structures and Robot Structural Analysis strengthens the accuracy of modeling and structural analysis, while robotics support increases productivity and workplace safety by automating high-risk physical tasks. Furthermore, AI-based prefabrication design optimization and cross-team collaboration through platforms like Bluebeam provide greater flexibility and coordination in project execution. Despite its numerous benefits, the implementation of these technologies faces challenges including high investment costs, the need for skilled human resources, and regulatory adaptation, which must be addressed to ensure an effective and sustainable transformation of the construction industry..
Keywords: Artificial Intelligence; Modular Construction; Prefabrication; Robotics; Design Optimization
ABSTRAK
Penerapan kecerdasan buatan (Artificial Intelligence/AI) dalam konstruksi modular dan prefabrikasi menjadi solusi inovatif untuk meningkatkan efisiensi, kualitas, dan keselamatan dalam industri konstruksi. Metode ini memungkinkan otomasi proses desain, produksi, dan manajemen proyek secara real-time sehingga mempercepat waktu konstruksi sekaligus meminimalkan risiko kesalahan dan pemborosan material. Integrasi AI dengan perangkat lunak seperti Tekla Structures dan Robot Structural Analysis memperkuat akurasi pemodelan dan analisis struktural, sedangkan dukungan robotika meningkatkan produktivitas dan keselamatan kerja dengan mengotomasi tugas fisik yang berisiko tinggi. Selain itu, optimalisasi desain prefabrikasi berbasis AI serta kolaborasi lintas tim melalui platform Bluebeam memberikan fleksibilitas dan koordinasi yang lebih baik dalam pelaksanaan proyek. Meskipun memiliki banyak manfaat, implementasi teknologi ini menghadapi tantangan berupa biaya investasi tinggi, kebutuhan sumber daya manusia terampil, dan adaptasi regulasi yang perlu diatasi agar transformasi industri konstruksi dapat berjalan efektif dan berkelanjutan..
Kata kunci: Kecerdasan Buatan; Konstruksi Modular; Prefabrikasi, Robotika; Optimalisasi Desai
Performance Comparison of VGG16, Mobilenet, And Xception Model Architecture in Rice Plant Leaf Identification
No full textRice is one of the world's most important staple foods. Rice is a staple food in most regions of the world, especially in Indonesia. Rice plant nutrition is one of the most important things in plant growth and development. Nutrient deficiencies in plants can affect the growth process and the quality of the plants when they are ready to be harvested. The dataset used in this research comes from the Kaggle platform, which has a total of 1190 datasets. The rice leaf images are divided into 2 classes, namely Sufficient and Deficient, which are tested with a ratio of 80% training data and 10% test data, and 10% as validation data. The model architecture used in this research is 3 VGG16, MobileNet and Xception using Jupyter and Google Collaboratory as tools. The tests were performed using 10 epochs and batch sizes of 32 and 64. The best accuracy results obtained are 78.15% and 76.47% for VGG16, 82.69% and 86.55% for MobileNet, 82.33% and 88.24% for Xception. Meanwhile, the best overall accuracy result was achieved by the Xception model at 88.24% with an input batch size of 32 and the tool used was Jupyter
Analisis User Experience Pada Aplikasi E-SPPD PLN Menggunakan User Experience Questionnaire(UEQ) Dan Algoritma K-Means
No full textThe E-SPPD PLN app is an application that used by Indonesia National Electricity Company (PLN) has a function to book lodging and transportation for business trips. Based on the rating given by users on the Google Play, the E-SPPD PLN app received a rating below 4. While the average rating of applications on Google Play is above 4. This research aims to asses the user experience of E-SPPD PLN app using a questionnaire and divide user experience preference data using data clustering. The questionnaire used to measure user experience is user experience questionnaire and the clustering algorithm used to group user experience data is k-means algorithm. The research was conducted at PLN West Sumatra Distribution Unit, with target respondents beingl users of the E-SPPD PLN in West Sumatra province. Based on data analysis and research, the E-SPPD PLN app has positive evaluation results for all aspects and categories and gets and excellent score for all aspects except the novelty aspect. The most optimal number of clusters of user experience data is 5 clusters, namely cluster 0 with 17 items, cluster 1 with 9 items, cluster 2 with 22 items, cluster 3 with 25 items, and cluster 4 with 16 items
Implementasi Internet of Things dan Deteksi Anomali Menggunakan Algoritma Deep Learning Pada Distribusi Buah Melon
No full textMelon is the horticultural plants that had the potential to improve Indonesia's economy in the agricultural sector. Efforts to improve the economy must been accompanied by improvements in the quality of melon fruit production and distribution to reach consumers. One way to maintain the quality of melon fruit is to combine production and distribution processes with the use of temperature sensors. Utilizing temperature sensor with Internet of Things (IoT) technology to monitor melon temperatures during the distribution process is a form of technological innovation. This research aims to develop a melon distribution system by applied IoT devices to monitor environmental temperature and detect anomalies before transferring data to blockchain system. The anomaly detection method in this research uses deep learning algorithms. Autoencoder was chosen as the architecture model in this research because this method can help minimize data anomalies. The results of this research indicate that IoT technology and anomaly detection were successfully implemented and performed very well. Based on performance testing using quality of service parameters, the throughput was 86,152 bps, the delay was 0.041199 ms, and the packet loss was 0.064%. The evaluation results of anomaly detection model for precision, recall, and F1-score were 0.9952, 1, and 0.9658
Pemodelan Fuzzy Inference System (FIS) dan Certainty Factor (CF) untuk Grading Ternak pada Penggemukan Sapi Bali
No full textBeef cattle development in Indonesia has developed in several regions by applying livestock technology and innovation through the school for smallholder communities (namely SPR in Indonesian). The SPR program has been established in several regions in Indonesia and has had a positive impact on smallholder farming. The condition of livestock in each SPR is still classified as not having good productivity. One of the most important factors in developing livestock populations for breeding and fattening purposes is the availability of good seed sources based on good genetic quality. The grading classification of cattle for breeding and fattening purposes needs to be identified in detail and comprehensively, including through selection based on qualitative and quantitative traits. The main objective of this research is to develop a livestock grading model in Balinese cattle fattening using fuzzy inference system and certainty factor approach. Grading is done by looking at information from the morphometric characteristics of livestock. The method used in this research is quantitative and qualitative data collection with a system of direct interviews with farmers and measurements of their livestock. The parameters used follow the characteristics of animal morphometrics, namely body weight, body length, chest circumference, chest width, hip height, hip width, pelvic height, hip height. The results obtained from the initial data of the experiment show that the classification is divided into three classes, namely class I, class II, and class III
Knowledge Management System Balai Pelestarian Kebudayaan Menggunakan Metode KMSLC
No full textABSTRACT
In a dynamic and competitive era, knowledge is considered a crucial element for the survival of an organization. The ability to effectively manage knowledge is a determining factor for organizational success. Therefore, the application of knowledge management is crucial for competitive advantage in the information age. The application of Knowledge Management also penetrates into various types of organizations, including government agencies which are driven by factors such as employee movement or retirement. The Balai Pelestarian Kebudayaan Wilayah V faces the problem of limited Cultural Pamong due to the high demand from related agencies both at the central and regional government levels. Without a knowledge management system in the Balai Pelestarian Kebudayaan Wilayah V, the knowledge and experience of cultural staff will be lost along with the movement of cultural staff. The development of a Knowledge Management System using the KMSLC method aims to become a virtual space for storing and sharing knowledge among cultural leaders. Functionality testing with blackbox testing shows that the features in the KMS have run well. Then usability testing using SUS from KMS obtained acceptable results in the acceptability ranges indicator and got a good predicate in adjective ratings
Analisis Volume Drainase Sebagai Upaya Pengendalian Banjir Di Kelurahan Talang Jawa Selatan, Lahat
No full textFlooding in Talang Jawa Selatan, Lahat Regency, is caused by natural phenomena such as high rainfall and human behavior. This area is also caused by poorly maintained drainage, the increase in population also causes an increase in waste discharge. This study's objective is to examine the drainage volume, assess the availability of drainage capacity to accommodate the volume of rainwater, identify factors that influence drainage performance. Analyzing the drainage volume calculated using the hydrological method includes rainfall patterns, maximum rain intensity and rain duration. Hydraulic analysis includes calculations of flow discharge, flow velocity and water level during periods of extreme rain. The analysis results show that the flood discharge volume of RW.01 is known to be 1.2233 /sec, RW.02 is 1.9055 /sec, RW.03 is 2.2373 /sec, RW. 04 of 3.9727 /sec, RW.05 of 1.7777 /sec. The condition of the drainage volume in the Talang subdistrict of South Java requires attention in terms of routine maintenance and increasing public awareness to ensure smooth water flow and reduce the risk of flooding. The drainage capacity of Talang South Java is appropriate for a 1 ha cathment area with a discharge of Q5 in the planned rainfall period of R5 (5 years). Factors that influence drainage performance: lack of routine maintenance can cause a buildup of sediment and rubbish that clog drainage channels. The habit of littering can clog drainage channels, reducing their effectiveness
Analisis Tingkat Kepuasan Pengguna Sistem Pengadaan Secara Elektronik (SPSE) V4.5 Pada Proyek Konstruksi Di Provinsi Banten
No full textAlong with the advancement of time, information systems and technology have increasingly developed and become essential in societal activities in the digital era. Government Goods/Services Procurement is conducted electronically using the Electronic Procurement System (SPSE) Version 4.5. This study aims to assess user satisfaction and user importance levels, as well as to identify factors that need improvement in SPSE V4.5 related to the implementation of electronic goods/services procurement. The research employs a descriptive method with a quantitative approach and purposive sampling of 30 respondents, including Commitment Making Officers (PPK), Procurement Working Groups (Pokja Pemilihan), and Service Providers. Data collection was conducted via questionnaires. Data analysis used the Importance Performance Analysis (IPA) method within the PIECES Framework, consisting of six attributes: Performance, Information, Economy, Control, Efficiency, and Service. The results show that the Performance variable scored the highest average satisfaction level (4.25) and highest average importance level (4.49) based on the PIECES system evaluation. Cartesian diagram analysis revealed factors in Quadrant I (Top Priority) that require improvement, such as system stability during simultaneous use, timely information produced by the system, reduced costs compared to conventional methods, the system easing costs and time for users, affordable access costs, adequate system security, and user satisfaction with the information provided by the system